[插件资源] Dlib FaceLandmark Detector 1.17 - 脸部识别专用插件

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发表于 2017-11-24 12:54:17 |只看该作者 |倒序浏览

Requires Unity 5.3.8 or higher.

适用于Unity Cloud Build

iOS和Android支持
Windows10 UWP支持
WebGL支持（Unity5.3或更高版本）
Win＆Mac＆Linux独立支持
在编辑器中预览支持

DlibFaceLandmarkDetector可以使用Dlib19.7 C ++库的ObjectDetection和ShapePrediction。

特征：
- 您可以在Texture2D，WebCamTexture和图像字节数组中检测正面人脸并面对界标（68分）。另外，您可以通过更改训练的数据文件来检测不同的对象。

ObjectDetector是使用现在经典的面向梯度直方图（Histogram of Oriented Gradients，HOG）特征，结合线性分类器，图像金字塔和滑动窗口检测方案制作的。除了人脸检测器之外，您还可以训练您自己的检测器。

- ShapePredictor是通过使用dlib的文章实现（与Vahid Kazemi和Josephine Sullivan在CVPR2014回归树合奏的一毫秒面对齐）创建的。您可以使用dlib的机器学习工具，除了人脸标志模型之外，还可以训练自己的模型。

Works with Unity Cloud Build

iOS & Android support
Windows10 UWP support
WebGL support(Unity5.3 or later)
Win & Mac & Linux Standalone support
Preview support in the Editor

DlibFaceLandmarkDetector can ObjectDetection and ShapePrediction using Dlib19.7 C++ Library.

Features:
- You can detect frontal human faces and face landmark(68 points) in Texture2D, WebCamTexture and Image byte array. In addition, You can detect a different objects by changing trained data file.

- ObjectDetector is made using the now classic Histogram of Oriented Gradients (HOG) feature combined with a linear classifier, an image pyramid, and sliding window detection scheme. You can train your own detector in addition to human faces detector.

- ShapePredictor is created by using dlib's implementation of the paper(One Millisecond Face Alignment with an Ensemble of Regression Trees by Vahid Kazemi and Josephine Sullivan, CVPR 2014). You can train your own models in addition to human face landmark model using dlib's machine learning tools.